
Exploring Data Using Base SAS Software
... Dispersion refers to the spread of the data values, usually with respect to a particular measure of central tendency. Some measures of dispersion are the range, the variance, the standard deviation, the coefficient of variation, and the Interquartlle range, Range is the difference between the smalle ...
... Dispersion refers to the spread of the data values, usually with respect to a particular measure of central tendency. Some measures of dispersion are the range, the variance, the standard deviation, the coefficient of variation, and the Interquartlle range, Range is the difference between the smalle ...
Section 5-2
... The probability of any event is between 0 and 1. All possible outcomes together must have probabilities whose sum is 1. If all outcomes in the sample space are equally likely, the probability that event A occurs can be found using the formula ...
... The probability of any event is between 0 and 1. All possible outcomes together must have probabilities whose sum is 1. If all outcomes in the sample space are equally likely, the probability that event A occurs can be found using the formula ...
Creating Graphs
... Step 2: Label each axis with the type of information it contains. Step 3: Decide what scale to use (how much each line represents), based on the range of data you want to show; e.g., if you had data with a range from 0-80 cm, you might choose an increase of 10 cm for each line. Step 4: Draw marks to ...
... Step 2: Label each axis with the type of information it contains. Step 3: Decide what scale to use (how much each line represents), based on the range of data you want to show; e.g., if you had data with a range from 0-80 cm, you might choose an increase of 10 cm for each line. Step 4: Draw marks to ...
Document
... 1. This formula avoids the separate calculations of the means, standard deviations, and the deviations from the means. 2. This formula is easier and more accurate: minimizes round-off error. ...
... 1. This formula avoids the separate calculations of the means, standard deviations, and the deviations from the means. 2. This formula is easier and more accurate: minimizes round-off error. ...
PSY 216
... 3. Problem 5 from the text Explain why the formulas for sample variance and population variance are different. The extreme scores in a population that is approximately normal in shape are less likely to be included in a sample because of their rarity. Thus, the sample is usually less variable than t ...
... 3. Problem 5 from the text Explain why the formulas for sample variance and population variance are different. The extreme scores in a population that is approximately normal in shape are less likely to be included in a sample because of their rarity. Thus, the sample is usually less variable than t ...
Chapter 5: Regression
... sources with the variation among individuals who should be similar. In particular, ANOVA tests whether several populations have the same mean by comparing how far apart the sample means are with how much variation there is within the sample. ...
... sources with the variation among individuals who should be similar. In particular, ANOVA tests whether several populations have the same mean by comparing how far apart the sample means are with how much variation there is within the sample. ...